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Citing this Article

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Published on 04.12.13 in Vol 15, No 12 (2013): December

This paper is in the following e-collection/theme issue:

Works citing "Text Messaging Data Collection for Monitoring an Infant Feeding Intervention Program in Rural China: Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2906):

(note that this is only a small subset of citations)

  1. Firchow P, Mac Ginty R. Including Hard-to-Access Populations Using Mobile Phone Surveys and Participatory Indicators. Sociological Methods & Research 2020;49(1):133
    CrossRef
  2. Gibby CLK, Palacios C, Campos M, Graulau RE, Banna J. Acceptability of a text message-based intervention for obesity prevention in infants from Hawai‘i and Puerto Rico WIC. BMC Pregnancy and Childbirth 2019;19(1)
    CrossRef
  3. Udtha M, Nomie K, Yu E, Sanner J. Novel and Emerging Strategies for Longitudinal Data Collection. Journal of Nursing Scholarship 2015;47(2):152
    CrossRef
  4. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. Journal of Medical Internet Research 2016;18(6):e135
    CrossRef
  5. Hong YA, Zhou Z, Fang Y, Shi L. The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications. Journal of Medical Internet Research 2017;19(9):e317
    CrossRef
  6. Gibson DG, Pereira A, Farrenkopf BA, Labrique AB, Pariyo GW, Hyder AA. Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review. Journal of Medical Internet Research 2017;19(5):e139
    CrossRef
  7. Iribarren SJ, Cato K, Falzon L, Stone PW, Mihalopoulos C. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PLOS ONE 2017;12(2):e0170581
    CrossRef
  8. Banna J, Campos M, Gibby C, Graulau RE, Meléndez M, Reyes A, Lee JE, Palacios C. Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications. Contemporary Clinical Trials 2017;62:56
    CrossRef
  9. van Velthoven MH, Li Y, Wang W, Chen L, Du X, Wu Q, Zhang Y, Rudan I, Car J, Operario D. Prevalence of Mobile Phones and Factors Influencing Usage by Caregivers of Young Children in Daily Life and for Health Care in Rural China: A Mixed Methods Study. PLOS ONE 2015;10(3):e0116216
    CrossRef
  10. Greenleaf AR, Gibson DG, Khattar C, Labrique AB, Pariyo GW. Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities. Journal of Medical Internet Research 2017;19(5):e140
    CrossRef
  11. Shimoni N, Nippita S, Castaño PM. Best practices for collecting repeated measures data using text messages. BMC Medical Research Methodology 2020;20(1)
    CrossRef
  12. van Velthoven MH, Car J, Zhang Y, Marušić A. mHealth series: New ideas for mHealth data collection implementation in low– and middle–income countries. Journal of Global Health 2013;3(2)
    CrossRef
  13. Sridhar D, Car J, Chopra M, Campbell H, Woods N, Rudan I. Improving health aid for a better planet: The planning, monitoring and evaluation tool (PLANET). Journal of Global Health 2015;5(2)
    CrossRef
  14. Taki S, Lymer S, Russell CG, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89
    CrossRef
  15. Taki S, Russell CG, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10
    CrossRef
  16. van Velthoven MH, Wang W, Wu Q, Li Y, Scherpbier RW, Du X, Chen L, Zhang Y, Car J, Rudan I. Comparison of text messaging data collection vs face-to-face interviews for public health surveys: a cluster randomized crossover study of care-seeking for childhood pneumonia and diarrhoea in rural China. Journal of Global Health 2018;8(1)
    CrossRef
  17. Shah N, Mohan D, Agarwal S, Scott K, Chamberlain S, Bhatnagar A, Labrique A, Indurkar M, Ved R, LeFevre A, Evans D. Novel approaches to measuring knowledge among frontline health workers in India: Are phone surveys a reliable option?. PLOS ONE 2020;15(6):e0234241
    CrossRef
  18. Li Y, Wang W, Wu Q, van Velthoven MH, Chen L, Du X, Zhang Y, Rudan I, Car J. Increasing the response rate of text messaging data collection: a delayed randomized controlled trial. Journal of the American Medical Informatics Association 2015;22(1):51
    CrossRef
  19. Ceballos F, Hernandez MA, Olivet F, Paz C, Hodges MH. Assessing the use of cell phones to monitor health and nutrition interventions: Evidence from rural Guatemala. PLOS ONE 2020;15(11):e0240526
    CrossRef
  20. Nuruliawati , Mardhiah U, Muktamarianti AI, Muttaqin E, Sheherazade , Surya S, Nugroho A, Rahmadi C, Widiyanto D, Leggett M, Mardiah S, Veríssimo D. Using SMS surveys to understand songbird ownership and shark product consumption in Indonesia. Oryx 2023;:1
    CrossRef
  21. Jimenez-Arberas E, Casais-Suarez Y, Fernandez-Mendez A, Menendez-Espina S, Rodriguez-Menendez S, Llosa JA, Prieto-Saborit JA. Evidence-Based Implementation of the Family-Centered Model and the Use of Tele-Intervention in Early Childhood Services: A Systematic Review. Healthcare 2024;12(1):112
    CrossRef